首页|Data on Arthroplasty Reported by Daniel Ritter and Colleagues (Machine Learning Models Can Define Clinically Relevant Bone Density Subgroups based on Patient Sp ecific Calibrated CT Scans in Patients Undergoing Reverse Shoulder Arthroplasty)
Data on Arthroplasty Reported by Daniel Ritter and Colleagues (Machine Learning Models Can Define Clinically Relevant Bone Density Subgroups based on Patient Sp ecific Calibrated CT Scans in Patients Undergoing Reverse Shoulder Arthroplasty)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Surgery - Arthroplasty is the subject of a report. According to newsreporting originating in Munich, Germany, by NewsRx journalists, research stated, “Reduced bone densityis recogn ized as a predictor for potential complications in reverse shoulder arthroplasty (RSA). Whilehumeral and glenoid planning based on preoperative computed tomogr aphy (CT) scans assist in implantselection and position, reproducible methods f or quantifying the patients’ bone density are currently notavailable.”
MunichGermanyEuropeArthroplastyB one ResearchBusinessCyborgsEmerging TechnologiesHealth and MedicineMac hine LearningOrthopedic ProceduresSurgery
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